A model card provides brief, transparent, responsible reporting for a trained machine learning model.

Model details

Intended use

Important aspects/factors

Metrics

Training data & evaluation data

## Rows: 0
## Columns: 11
## $ mpg  <dbl> 
## $ cyl  <dbl> 
## $ disp <dbl> 
## $ hp   <dbl> 
## $ drat <dbl> 
## $ wt   <dbl> 
## $ qsec <dbl> 
## $ vs   <dbl> 
## $ am   <dbl> 
## $ gear <dbl> 
## $ carb <dbl>

Quantitative analyses

## 
## Attaching package: 'probably'
## The following objects are masked from 'package:base':
## 
##     as.factor, as.ordered
## # A tibble: 28 × 14
##    .pred .pred_lower .pred_upper   mpg   cyl  disp    hp  drat    wt  qsec    vs
##    <dbl>       <dbl>       <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
##  1  26.2       21.8         30.6  26       4 120.     91  4.43  2.14  16.7     0
##  2  11.5        7.09        15.9  10.4     8 472     205  2.93  5.25  18.0     0
##  3  20.4       15.9         24.8  21.4     6 258     110  3.08  3.22  19.4     1
##  4  15.8       11.4         20.2  15.5     8 318     150  2.76  3.52  16.9     0
##  5  27.8       23.3         32.2  30.4     4  95.1   113  3.77  1.51  16.9     1
##  6  29.7       25.2         34.1  30.4     4  75.7    52  4.93  1.62  18.5     1
##  7  20.2       15.8         24.6  19.7     6 145     175  3.62  2.77  15.5     0
##  8  13.9        9.51        18.4  14.3     8 360     245  3.21  3.57  15.8     0
##  9  19.8       15.4         24.2  18.1     6 225     105  2.76  3.46  20.2     1
## 10  14.4        9.93        18.8  15       8 301     335  3.54  3.57  14.6     0
## # ℹ 18 more rows
## # ℹ 3 more variables: am <dbl>, gear <dbl>, carb <dbl>

Overall model performance

## # A tibble: 3 × 3
##   .metric .estimator .estimate
##   <chr>   <chr>          <dbl>
## 1 rmse    standard       1.71 
## 2 rsq     standard       0.914
## 3 mae     standard       1.36

Visualize model performance

## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

Ethical considerations

Caveats & recommendations